GPstuff - Gaussian process models for Bayesian analysis
-
Updated
Dec 30, 2022 - MATLAB
GPstuff - Gaussian process models for Bayesian analysis
The R package varycoef implements Gaussian processes spatially varying coefficient models.
Software package for Gaussian Process (GP) modelling written in R language. The core functions are coded in C++ and based on the EIGEN library (through RcppEigen).
Code for reproducing the results of the paper "A class of modular and flexible covariate-based covariance functions for nonstationary spatial modeling"
Add a description, image, and links to the covariance-functions topic page so that developers can more easily learn about it.
To associate your repository with the covariance-functions topic, visit your repo's landing page and select "manage topics."